Welcome & State of Open Source Databases

on YouTube ↗56m

" summary

Fast, concrete survey of where open source databases move: rising designs for distributed by default systems and separation of storage and compute (Neon sold to Databricks), serverless pricing patterns, and HTAP limits that push data pipelines/Kafka for analytics; vector search adoption explodes since ~2019 with MySQL notably absent; license shifts (MongoDB 2018, Elastic/Redis) drive rapid forks and Linux Foundation-backed alternatives; Kubernetes operators make day‑2 ops viable and tools like Percona Everest aim to run many millions of DB instances on Kubernetes.

AI-written summary · about

" chapters (35)

1. 0:00Opening remarks and event gratitude
2. 1:53Event logistics
3. 3:16Open source database trends
4. 4:41Distributed databases standard
5. 5:46Storage and compute separation
6. 7:30Serverless databases scaling
7. 8:34Hybrid transactional analytical processing limitations
8. 9:57Specialized databases pipelines
9. 10:39Multi-database architectures rise
10. 12:26Cloud managed services
11. 13:33Diverse database models
12. 14:56Database compatibility flexibility
13. 15:20Vector search AI applications
14. 19:38Open source challenges today
15. 20:43Cloud impact on open source
16. 21:46PostgreSQL cloud success
17. 23:32MongoDB license change
18. 24:57Licensing vs governance models
19. 26:44Single-vendor conflicts
20. 27:50License changes impact
21. 29:15Open source forks rise
22. 30:50Forking Linux Foundation role
23. 33:02Hadoop decline
24. 34:46DBaaS vendor lock-in risk
25. 37:18Oracle vendor lock-in lessons
26. 39:23Data gravity open source
27. 41:09Cloud-native vs vendor ecosystems
28. 42:34Linux disruptive journey
29. 44:43Cloud commodity open source
30. 46:51Kubernetes stateful databases
31. 48:57Day-two Kubernetes operators
32. 51:07Database services on Kubernetes
33. 52:52Myths databases Kubernetes
34. 53:37Everest deployment solutions
35. 54:41Future open source innovation

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